Responsibilities for Social Media Manager
- Oversee day-to-day management of campaigns and ensure brand consistency
- Facilitate scaling brand and company awareness through various social media channels
- Work with brand to create and implement social media strategies monthly
- Ensure brand consistency in copy through tone, voice and terminology
- Supervise all aspects of social media interaction between customers and the company, and ensure a positive customer service experience
- Create actionable plans to both grow and maintain followers through popular social media platforms such as Twitter, Facebook, Pinterest, YouTube and LinkedIn
- Ensure progress on all platforms by using analytical tools such as Google Analytics and others
- Oversee the creating and implementation of the monthly editorial calendar which includes monthly sales objectives and initiatives
Qualifications for Social Media Manager
- 3-5 years of social media management experience
- Bachelor's degree in business, marketing, journalism, public relations or related field
- Professional certification in Google Analytics strongly preferred
- Proficient using multi-social posting programs such as Hootsuite and HubSpot
- Strong computer skills using Microsoft Office and Adobe Suites
- General knowledge of Search Engine Optimization and internet ranking for web content
- Relevant experience determining a target audience and how to cater unique marketing campaigns to capture their attention
- Strong understanding of marketing strategy and how to effortlessly utilize these concepts throughout various forms of outreach
- Ability to manage and supervise a diverse group of employees and simultaneously work toward many company initiatives at once
Shubham Vishwakarma
Full Stack Developer - Averlon
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Location: Hybrid/ Remote
Openings: 3
Experience: 2+ Years
Qualification: Bachelor’s or Master’s in Computer Science or a related technical field
Key responsibilities:
Automation & Frameworks
- Design, build, and maintain Test Automation frameworks using best practices.
- Continuously enhance test coverage and test efficiency through automation.
AI Awareness (Preferred)
- Familiarity with AI/ML-based testing tools or self-healing test automation frameworks is an added advantage.
- Explore ways to integrate AI-driven quality assurance into existing testing processes.
Collaboration & Reporting
- Work closely with developers, product managers, and architects in a fast-paced Agile environment.
- Report test results, risks, and improvement areas in a clear and timely manner.
Product Quality Assurance
- Test multiple products to identify deficiencies, defects, and usability gaps.
- Investigate product quality issues and drive continuous improvement in collaboration with engineering teams.
Release Readiness
- Run full regression test passes before each product release.
- Assist the team in making the go/no-go release decision based on test outcomes.
Required skills:
- 2+ years of hands-on experience as a QA Engineer in a fast-paced, global environment
- Strong knowledge of various testing techniques – UI Testing, Automated Testing, Test-Driven Development (TDD) strategies
- Solid understanding of test methodologies (functional, non-functional, BDD)
- Expertise in end-to-end automation tools like Selenium, WebDriver, and Puppeteer for browser automation and UI testing
- Familiarity with JavaScript testing frameworks such as Jest, Mocha, Webpack (a plus)
- Basic coding knowledge in Java, HTML5, CSS3, DB2, XML is a plus
- Experience working with Agile/Scrum methodologies
Machine Learning (ML)Job Description: AI/ML Engineer
Location: Gurgaon, Haryana, India
Position: AI/ML Engineer -Intern
Stipend: As per industry standards
About Aaizel Tech
Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As part of our dynamic team, you'll gain hands-on experience and learn from experts who are dedicated to pushing the boundaries of what's possible.
Key Responsibilities:
- Model Development and Optimization:
- Design, implement, and deploy ML models for diverse applications, including predictive analytics, anomaly detection, and computer vision, tailored for cybersecurity, climate monitoring, and geospatial data analysis.
- Utilize deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) for complex problem-solving.
- Advanced Data Engineering:
- Develop ETL pipelines and preprocessing scripts using Pandas, Numpy, and PySpark to handle large datasets from satellite imagery, IoT sensors, and real-time data sources.
- Integrate data from APIs, databases, and big data platforms (Hadoop, Apache Kafka) to support real-time analytics.
- Algorithm Research and Development:
- Research state-of-the-art ML techniques, including Transfer Learning, Transformer models, and AutoML, to enhance model performance.
- Innovate new algorithms for geospatial analysis, such as object detection on aerial imagery, spatial clustering, and environmental modeling.
- Deployment and MLOps:
- Deploy models using Docker, Kubernetes, and CI/CD pipelines, ensuring robust model lifecycle management.
- Work with cloud platforms (AWS, Azure, GCP) to implement scalable model serving solutions, using technologies like Sage Maker, TensorFlow Serving, and ONNX.
- Performance Evaluation and Tuning:
- Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimize for both accuracy and inference speed.
- Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.
6. Performance Evaluation and Tuning:
- Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimise for both accuracy and inference speed.
- Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.
- 7. Collaboration and Code Quality:
- Collaborate with data engineers, cybersecurity experts, and geospatial analysts to integrate ML solutions into end-to-end products.
- Adhere to coding standards, participate in code reviews, and maintain high-quality codebases using Git, Jira, and Confluence.
8.Monitoring and Maintenance:
- Develop monitoring dashboards using Grafana, Prometheus, or similar tools to track model performance post-deployment.
- Implement feedback loops for model retraining based on real-time data and evolving application needs.
Required Skills, Qualification and Experience:
Educational Background: Bachelor’s/Master’s in Computer Science, Data Science, Machine Learning, or a related field from preferably top-tier institutions.
- Technical Proficiency:
- Strong skills in Python, PyTorch, TensorFlow, and Scikit-learn.
- Proficiency in SQL, NoSQL databases (MongoDB, Cassandra), and data warehousing solutions (Redshift, BigQuery).
- Problem-Solving: Analytical mindset with the ability to solve complex problems using data-driven approaches.
- Communication: Capable of translating technical details into actionable insights for diverse stakeholders.
- Adaptability: Ability to thrive in a high-paced, dynamic startup environment with a focus on rapid iteration and delivery.
JavascriptAbout your Role
At Fintech Primitives we are reimagining WealthTech from the ground up. We are a B2B fintech infra company with deep customer obsession. We currently power some of the fastest growing fintechs and enterprises. We are on a high growth track and need people like you to join us on this mission towards hyper-scale.
We are looking for Integration and Support superheroes to help our customers succeed. This is your chance to work directly with multiple fintechs / enterprises and help them realize their dreams of changing how investing works.
Your Career
You will join the highly skilled team who are responsible for delivering Cybrilla’s Fintech Primitives services. You represent the company for the world outside, it’s that simple! When the customer closes technical sessions or queries they should feel confident about knowing our products and services. In short, they should be equipped with the tools to be successful. In short, they should be equipped with the tools to be successful.
Responsibilities :
Your customers are developers here who are integrating Fintech primitives APIs, you make an impact by providing implementation, integration and operational guidance. You independently dive into the problem with the eye to both immediate resolution and follow-up through changes and automations.
This enables our customers to develop an awesome product!
Diagnose and troubleshoot concerns
- Often customers may not know where the issue lies - so ask simple, accurate and complete data inputs to understand the problem and get started with root cause analysis and resolution.
- Time is of the essence - by providing timely response and resolution within the SLA, you induce confidence and path to great relationship building with your customers.
- Collaborate and coordinate with cross-functional teams (delivery, product, operations, engineering, related 3rd parties, customer) and look for ways to improve the velocity of issue resolution.
- Handle interruptions \ technical upgrades via upfront communication, keeping customers up to date at all times until resolution.
Help customers implement product
- Be updated! - by continuously improving your technical and operational understanding of the product, you provide the latest and greatest product implementation assistance to the customers.
- Enable smooth integration of the product into customer’s business by resolving technical or operational queries at any stage of implementation.
- Enable faster onboarding and go live by guiding them at every step of the implementation.
Represent customer issues
- Understand areas of product and service improvement during collaboration with internal teams and external customers.
- Correlate technical and operational issues across product verticals as well as customer accounts.
- Act as a customer advocate and drive enhancements and feature requests with internal teams on products and services.
- Utilize feedback to improve customer experience and debugging strategies.
Required Skills and Experience -
Must have skills -
- 7 to 10 years of experience as a Customer Success Engineer.
- Problem-solving and troubleshooting skills.
- Strong will to provide customer services according to agreed SLA’s.
- Degree in Programming or scripting language and databases.
Good to have skills -
- Exposure to mutual funds as an investor is preferable.
What’s in it for you?
- Opportunity to work on a unique developer first platform for the Indian wealth management industry.
- Opportunity to work with a highly respected & appreciated fintech company.
- Opportunity to solve deep domain and technology problems, at scale.
- Increasing your geek quotient, by attending meetups and conferences. Yes, we dig that stuff.
- Grow exponentially, by working in small and transparent teams.
- Who says you can’t make friends at work, we do!
- Raising support tickets to enable tracking and resolution of customer requests
- Investigating and resolving customer complaints then closing support tickets
- Maintaining a database of customer information
- Escalating inquiries to the appropriate team, when necessary
- Checking product or service availability
- Assisting customers with registration or account creation
JavaAbout OneAssist
OneAssist is founded with a vision to provide a ubiquitous platform for assistance & protection services to customers.
A leader in Assistance and Protection products across Home Appliances, Personal Electronics, Physical and Mobile Wallets, OneAssist is a Technology-led organization. It has created a horizontal Assitance and Protection platform powered by Technology, Analytics and Data Science.
OneAssist wants to provide consumers the convenience of availing assistance and protection products through digital touch points- Mobile App, website, Voice and chat.
Founded in 2011, OneAssist has been well funded by Marquee investors, Sequoia Capital, Lightspeed Venture Partners, Assurant Solutions and Trifecta Capital with total cumulative funding of $33.2 Million. The latest Series C funding of &17.5 Million was raised in 2017.
Some of our significant partnerships are with Airtel, HDFC, HomeCredit, Pinelabs, InstaCash and more.
https://www.linkedin.com/company/oneassist-consumer-solutions/about/">https://www.linkedin.com/company/oneassist-consumer-solutions/about/
https://www.oneassist.in">https://www.oneassist.in
Job Description:
- Write maintainable/scalable/efficient code.
- Design and architect technical solutions for the developer community at OneAssist Work in a cross-functional team, collaborating with peers during the entire SDLC.
- Follow coding standards, code reviews etc. Follow scrum sprint cycles and commitment to deadlines.
Traits we are looking for in you: 3+ years experience developing large scale customer facing internet systems Strong problem-solving skills.
- Hands-on experience in coding capability in desired technology Solid experience in Java/J2EE frameworks such as Spring, Spring Boot, Spring Cloud, Hibernate.
- Strong Experience with Microservices, RESTful Web services, OOPs concepts.
- Nice to have knowledge of Docker, Kubernetes, Jenkins and CI/CD Knowledge
- Strong background in designing or extending existing test frameworks such as Junit Experience with version control systems such as Git. Good understanding of application security (authentication, authorization, web security etc.)
Data Science
R Programming
PythonJob Description
We are looking for applicants who have a demonstrated research background in machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research. The candidate will collaborate with researchers and engineers of multiple disciplines within Ideapoke, in particular with researchers in data collection and development teams to develop advanced data analytics solutions. Work with massive amounts of data collected from various sources.-4 to 5 years of academic or professional experience in Artificial Intelligence and Data Analytics, Machine Learning, Natural Language Processing/Text mining or related field.
-Technical ability and hands on expertise in Python, R, XML parsing, Big Data, NoSQL and SQL
Javascript
HTML/CSS
AngularJS (1.x)Python
Django
Flask
.NET
C#
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon